An original point and later metaconversation are not the same thing.
It was that interaction and the posts that followed which I responded to. Hence not only was my series of quotations not meant only for you, but the lengthy explanation on the problems with the computer-brain metaphor was made in response to another.
Not the one I made.
I have no disagreement with either quote; though they don't interact with anything I've said.
You state:
My personal belief is that your brain operates exactly like the biological machine it is. It's actions are determined by input and programming.
I give you a study on the brain which shows that this isn't just false for the brain, it doesn't hold true for a fly's "brain". How does that not "interact" with what you said?
A "probabiliy" is a fact you don't have enough information or a correct model for (in which case it's not "free").
1) Your continued insistence that "free will" should be treated contrary to your own citation of a dictionary is as pointless as it is patently absurd.
2) There are many definitions of probability (even among mathematicians there are long-held and highly contentious debates such as the Bayesian vs. Frequentist interpretation). Here, probabilistic refers to emergent properties/processes within complex systems that are ontologically indeterministic, but are not random either. There are several ways for this to be so:
a) The ways in which e.g., granular media can exhibit self-organized criticality and hysteresis. The final state is governed my multiple constraining possible or meta-stable configurations out of which one will emerge. This is a weak form of indeterministic non-random outcomes.
b) There's the entirety of quantum mechanics and most extensions thereof. Here, the systems the ways in which the systems are indeterministic but not random have different interpretations. One involves the capacity of the observer or "mind" to determine the result. This isn't a very popular theory as it involves consciousness to describe the basic constituents of reality. Another interpretation is that quantum systems exist in multiple (even infinite) distinct states at the same time, meaning that they aren't just indeterministic nor random but ontologically "vague" (they exist as more than one thing at the same time yet do so as one thing). Another is that they represent potentials that are realized by interaction.
c) Functional emergence and self-organization/self-determination. Living systems, unlike other complex systems, consist of more than just constituent parts. Ultimately, from sandpiles to fluid dynamics, kinematics can explain just about everything in such systems (in theory) apart from subatomic mechanics, because such systems can be idealized as "closed" systems. Living systems are fundamentally "open", far from thermodynamic equilibrium, and the configurations of a single sell are determined by functional processes like metabolic-repair which are being caused by those things it is causing (closed causation/circular causality). Brains, naturally, are far more complicated than cells (they are up of billions of these after all). However, the functional process "consciousness" or "awareness" is unique in its ability to not simply react to its environment the way flies or plants do (re-organizing dynamically to represent information about the environment as part of their physical make-up). It can represent abstractions that allow information about the environment to be processed conceptually, i.e., filtering sensory/perceptual information via a semantic network, episodic memories, and most importantly an abstract emergent sense of singular agency (the irreducible "I/me" concept). It is conceptual processing that allows things like choices or decisions, as only via the encoding, processing, and recall of semantic content which includes a concept of "self-as-agent" ("I/me") can a system do more than reflexively react. Feeding information into a computer is like using a sowing machine. It doesn't actually "process" anything, it simply mechanically carries out procedures. Living systems like plants do process information but syntactically or reflexively because the stimuli cannot be represented abstractly. The ability to represent two alternate choices requires the ability to represent conceptual (abstract) information and the change of state we might call the "choice" is the application of this emergent function "mind" interpreting the semantic information and determining the state of the system (the brain) which it is a product of.
Yes. Your turtle stands on another turtle.
That pesky little thing called scientific evidence. Absolutely a “turtle” compared to your idiomatic definitions and personalized form of “logic”, misuse of language, etc. But we should take on faith that determinism means what you say and the only other alternative is randomness because you’ve yet to produce on iota of evidence for anything you say while writing off evidence from multiple fields. Oh wait. That’s because you’re the one stacking turtles upon one another. I’m the one citing evidence, explaining how it works, relying on those things you so dislike (logic, empirical evidence, the sciences, etc.).
"probabilistic" is either the result of the condition of everything, or it is not.
According to your deep understanding of causality, metaphysics, physics, and philosophy. None of which you’ve demonstrated, of course, but you do like to repeat
ad nauseum the same claims as if they were not just your personal definition upon which your argument stands or falls (FYI- it falls).
Hm…What could this volume and the papers within be about?
Dowe, P., & Noordhof, P. (Eds.) (2004).
Cause and chance: Causation in an indeterministic world. Routledge.
Well, we can’t go over all the submissions but can quote some:
“The world is
indeterministic if some actual event might have failed to occur without violation of any actual laws; likewise, it is indeterministic if some event that did not in fact occur might have occurred without violation of any laws. One might also make the point in terms of
chance: in a deterministic world the chance of an event’s occurring, given the prior history of the world, is either 0 or 1, whereas in an indeterministic world the chance may bestrictly between 0 and 1.
If we want to allow that there is
causation even in indeterministic worlds, there is little alternative but to take causation as involving
chance-raising. In the most basic case, one event, C, is a cause of another, E, because the chance of E’s occurring is higher as a result of C’s occurrence. There are, however, different ways of cashing out the idea of chance-raising. David Lewis (1986) does so by appeal to
counterfactual chances, for example, whereas Igal Kvart (1986, see also the chapter in this volume) appeals to actual
conditional chances.”
Ramachandran, M. "Indeterministic causation and varieties of chance-raising"
Or from another:
“In general, for A to be causally relevant to C, A must be probabilistically relevant to C. A strong conviction to this effect lies at the heart of a full-blooded probabilistic approach to causal relevance. A is probabilistically relevant to C just in case there is either an increaser or a decreaser for A and C. Increasers and decreasers may, as noted, be null or not.”
Kvart, I. "Probabilistic cause, edge conditions, late preemption and discrete cases."
There’s a lot of literature on this, but you might try
Probability and Causality (
Synthese Library Vol. 192), and in particular the review of theories in the contributing paper by Davis: “Probabilistic theories of causation”.
I notice. They’re so much easier than evidence or doing a little research to familiarize yourself with something relevant here.
How about actually reading literature on causality, probability, determinism, and the relevant fields (from physics to neurosciences)? I’ll tell you what. I’ll see if I can scan some chapters or find some elementary papers for you so that you need not rely on a combination of ignorance and quote-mining the results of google searches.